iAyon's Stars
k88hudson/git-flight-rules
Flight rules for git
rouseguy/intro2stats
Introduction to Statistics using Python
Spandan-Madan/DeepLearningProject
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
public-apis/public-apis
A collective list of free APIs
florinpop17/app-ideas
A Collection of application ideas which can be used to improve your coding skills.
changwookjun/StudyBook
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
devAmoghS/Machine-Learning-with-Python
Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!
rShetty/awesome-podcasts
Collection of awesome podcasts
AMAI-GmbH/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
JifuZhao/120-DS-Interview-Questions
My Answer to 120 Data Science Interview Questions
visenger/awesome-mlops
A curated list of references for MLOps
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
ilmoi/MML-Book
Code / solutions for Mathematics for Machine Learning (MML Book)
poteto/hiring-without-whiteboards
⭐️ Companies that don't have a broken hiring process
amitness/learning
A log of things I'm learning
ppant/deeplearning.ai-notes
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
tirthajyoti/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
aditya1702/Machine-Learning-and-Data-Science
This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.
kojino/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
fejes713/remote-internship-advice
a friendly remote internship advice so you make the most out of it this summer ☀️
Pierian-Data/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
ZuzooVn/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
zotroneneis/machine_learning_basics
Plain python implementations of basic machine learning algorithms
susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
kilimchoi/engineering-blogs
A curated list of engineering blogs
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
khanhnamle1994/cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
trekhleb/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained